AI-901시험패스인증공부 & AI-901시험대비덤프공부

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Microsoft AI-901 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Azure AI Fundamentals (AI-900) Exam
Exam Number:AI-900
Passing Score:700 (out of 1000)
Related Certifications:Microsoft Azure Fundamentals (AZ-900)
Microsoft Azure Data Fundamentals (DP-900)
Certificate Validity Period:Does not expire (Fundamentals certification)
Available Languages:Japanese, Chinese (Traditional), German, Korean, English, Spanish, Portuguese (Brazil), French, Chinese (Simplified)
Exam Format:Drag and drop, Multiple choice, Multiple response, Case study (limited)
Exam Duration:60 minutes
Exam Price:Approx. 99 USD (varies by region)
Real Exam Qty:40-60
Recommended Training:Microsoft Learn - AI-900 Learning Path
Azure AI Fundamentals Course
Exam Registration:Schedule exam via Pearson VUE
Microsoft Certification Portal
Sample Questions:Microsoft AI-901 Sample Questions
Exam Way:Online proctored exam or in-person test center
Pre Condition:No formal prerequisites required. Basic understanding of cloud computing and AI concepts is recommended.
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-fundamentals/

>> AI-901시험패스 인증공부 <<

AI-901시험대비 덤프공부, AI-901높은 통과율 인기 덤프문제

Microsoft인증사에서 주췌하는 AI-901시험은 IT업계에 종사하는 분이시라면 모두 패스하여 자격증을 취득하고 싶으리라 믿습니다. ExamPassdump에서는 여러분이 IT인증자격증을 편하게 취득할수 있게 도와드리는 IT자격증시험대비시험자료를 제공해드리는 전문 사이트입니다. ExamPassdump덤프로 자격증취득의 꿈을 이루세요.

Microsoft AI-901 시험요강:

주제소개
주제 1
  • Identify AI concepts and capabilities: This domain covers the foundational knowledge of AI from ethical principles and responsible design to understanding how AI models work and what kinds of tasks they can perform. It also explores the full range of AI workloads including generative AI, computer vision, speech, and information extraction.
주제 2
  • Implement AI solutions by using Microsoft Foundry: This domain is hands-on and focuses on building and deploying AI solutions using the Microsoft Foundry platform and its associated tools. It spans generative AI apps, text and speech processing, computer vision, and document intelligence all implemented through the Foundry portal and SDK.

최신 Microsoft Certified: Azure AI Fundamentals AI-901 무료샘플문제 (Q86-Q91):

질문 # 86
Which natural language processing feature can be used to identify the main talking points in customer feedback surveys?

정답:B

설명:
To identify main talking points in feedback using Azure natural language processing, the Key Phrase Extraction feature within the Azure AI Language service is the most appropriate choice.
This feature analyzes text and extracts the most relevant and important phrases, effectively highlighting the core topics or themes present in the feedback.
Reference:
https://learn.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing


질문 # 87
Based on the image provided, here is the transcribed text:
You need to build an AI solution that produces new product images based on written descriptions provided by users.
Which AI workload should you use?

정답:D

설명:
The requirement is to produce new product images based on written descriptions. This is an image generation workload, because the AI system is creating entirely new images from natural language prompts.


질문 # 88
You have a dataset that contains experimental data for fuel samples.
You need to predict the amount of energy in kilojoules that can be obtained from a sample based on its measured density.
Which type of AI workload should you use?

정답:C

설명:
Regression is a supervised machine learning technique which is used to predict continuous values. The ultimate goal of the regression algorithm is to plot a best-fit line or a curve between the data. The three main metrics that are used for evaluating the trained regression model are variance, bias and error.
Reference:
https://builtin.com/data-science/regression-machine-learning


질문 # 89
You are explaining generative AI workflows to a colleague. What is the first step of a generative AI workflow?

정답:A


질문 # 90
In the Microsoft Foundry portal, you create an agent named Agent1, and then deploy the agent.
You open the Foundry playground to test Agent1.
What does the playground use to ensure that the tests reflect production behavior?

정답:D

설명:
The Configuration of the Agent: When you open the playground for a deployed agent in the Microsoft Foundry portal, it connects directly to the active deployment and uses the actual configuration, version, model, and tool bindings of the deployed agent to mirror real production logic.
Reference:
https://learn.microsoft.com/en-us/answers/questions/5564123/how-to-enable-the-agents-playground-feature-in-azu


질문 # 91
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